检索结果-南通市图书馆

第三十届中国控制会议

作者： WANG Xingbo,ZHANG Huanshui,and JIANG Xiangyuan School of Control Science and Engineering,Shandong University,Jingshi Road 73,Jinan,250061,P.R.China

＜正＞target tracking using wireless sensor networks requires efficient collaboration among *** collaborative tracking approaches based on the extended Kalman filter,as addressed in many previous papers,suffer from low tracking accuracy. In this paper,we present a new collaborative target tracking approach in wireless sensor networks based on the combination of maximum likelihood estimation and Kalman *** leader firstly converts the nonlinear measurements collected from the scheduled sensors into a linear observation model in target state using maximum likelihood estimation-based localization, then applies a standard Kalman filter to recursively update the current target state and predict the future target ***, an information measure based on the Fisher information matrix（FIM） is proposed to select the most informative sensors and one of them is designated as the leader for the next time tracking so as to achieve more tracking accuracy under the energy constraint.

关键词： collaborative target tracking Maximum Likelihood Estimation Kalman Filtering Fisher Information Matrix Sensor Selection

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

Acollaborative target tracking algorithm formultiple UAVs with inferior tracking capabilities

引用

Frontiers of Information Technology & Electronic Engineering 2021年第10期22卷 1334-1350页

作者： Zhi ZHENG Shuncheng CAI College of Computer and Cyber Security Fujian Normal UniversityFuzhou 350117China

target tracking is one of the hottest topics in the field of drone *** this paper,we study the multiple unmanned aerial vehicles(multi-UAV)collaborative target tracking *** propose a novel tracking method based on intention estimation and effective cooperation for UAVs with inferior tracking capabilities to track the targets that may have agile,uncertain,and intelligent *** three classic target motion modes,we first design a novel trajectory feature extraction method with the least dimension and maximum coverage constraints,and propose an intention estimation mechanism based on the environment and target trajectory *** propose a novel Voronoi diagram,called MDA-Voronoi,which divides the area with obstacles according to the minimum reachable distance and the minimum steering angle of each *** each MDA-Voronoi region,the maximum reachable region of each UAV is defined,the upper and lower bounds of the trajectory coverage probability are analyzed,and the tracking strategies of the UAVs are designed to effectively reduce the tracking gaps to improve the target sensing ***,we use the Nash Q-learning method to design the UAVs’collaborative tracking strategy,considering factors such as collision avoidance,maneuvering constraints,tracking cost,sensing performance,and path *** designing the reward mechanism,the optimal action strategies are obtained as the control input of the ***,simulation analyses are provided to validate our method,and the results demonstrate that the algorithm can improve the collaborative target tracking performance for multiple UAVs with inferior tracking capabilities.

关键词： collaborative target tracking Intent estimation MDA-Voronoi diagram Multi-UAV Inferior

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：